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Results 1 - 10
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217
Whom You Know Matters: Venture Capital Networks and Investment Performance,
- Journal of Finance
, 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract
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Cited by 138 (8 self)
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investments, using a comprehensive sample of U.S. based VCs over the period 1980 to 2003. VC funds whose parent firms enjoy more influential network positions have significantly better performance, as measured by the proportion of portfolio company investments that are successfully exited through an initial
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
"... Abstract. Automatic organ segmentation is an important yet challeng-ing problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability. This inhibits previous seg-mentation methods from achieving high accuracies, especially compared to other organs such ..."
Abstract
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at different scales of contexts in a “zoom-out ” fashion. Our ConvNets learn to assign class probabilities for each superpixel region of being pancreas. Last, we study a stacked R2−ConvNet leveraging the joint space of CT intensities and the P−ConvNet dense probability maps. Both 3D Gaus-sian smoothing and 2D
Screening masses in thermal and dense medium
, 2006
"... Screening masses of different hadronic states are studied in thermal and dense medium on lattice. It has been found that screening masses increase with the temperature. In deconfinement phase, chemical potential enhances the screening masses. We use the normalization with respect to lowest Matsubara ..."
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, at which hadronic bound states dissolve into free quarks. In this limit, screening mass does not depend on parent bound states. At very high temperatures, one would expect a universal line of screening masses from different hadronic states, mD = lπTa = lπ/Nτ, where a is lattice spacing, Nτ is the time
Network science Complex network Community detection
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution
GAUSSIAN NETWORKS
"... by Utsaw Kumar The presence of inexpensive and powerful sensing and communication devices has made it possible to deploy large scale distributed systems for a variety of applications. Interactions among different components of such a system include communication of information and controlling dynami ..."
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and control performance over noisy forward links. Such feedback can considerably increase the reliability or reduce the complexity of coding schemes that approach capacity. Moreover, transmission schemes with feedback can be used to stabilize unstable plants over communication channels, where a sensor
Deep and wide multiscale recursive networks for robust image labeling
- In International Conference on Learning Representations
, 2014
"... Feedforward multilayer networks trained by supervised learning have recently demonstrated state of the art performance on image labeling problems such as boundary prediction and scene parsing. As even very low error rates can limit practical usage of such systems, methods that perform closer to huma ..."
Abstract
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Cited by 9 (3 self)
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that improves segmentation accuracy. Experiments in the challenging domain of connectomic reconstruction of neural circuity from 3d electron microscopy data show that these “Deep And Wide Multiscale Recursive” (DAWMR) networks lead to new levels of image labeling performance. The highest performing architecture
Article TDMA-Based Dual-Mode Communication for Mobile Wireless Sensor Networks
, 2012
"... sensors ..."
Routing and Broadcasting in Ad-Hoc Networks
"... I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present ..."
Abstract
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group and of the IAM for our various interesting discussions about all kinds of topics and for making the institute a very pleasant and friendly place to work at. Special thanks go to David Steiner, Marc Steinemann, Matthias Scheidegger, Florian Baumgartner, Ruy De Oliveira, and Attila Weyland
Fusion of Learned Multi-Modal Representations and Dense Trajectories for Emotional Analysis in Videos
"... Abstract-When designing a video affective content analysis algorithm, one of the most important steps is the selection of discriminative features for the effective representation of video segments. The majority of existing affective content analysis methods either use low-level audio-visual feature ..."
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-visual features or generate handcrafted higher level representations based on these lowlevel features. We propose in this work to use deep learning methods, in particular convolutional neural networks (CNNs), in order to automatically learn and extract mid-level representations from raw data. To this end, we
Results 1 - 10
of
217
